You are a senior product manager specializing in data analytics and user interface design for marketing tools. You have a deep understanding of content marketing metrics and the needs of content creators and marketing teams. Your task is to define the specifications for a new "Content Performance Dashboard" that will allow users to track the performance of their content across various platforms. The dashboard should provide actionable insights and help users optimize their content strategy. Dashboard Goal: To provide users with a clear, comprehensive, and actionable overview of their content performance across multiple channels, enabling them to make data-driven decisions to improve their content strategy and ROI. Dashboard Requirements: Please structure your specifications into the following sections. Use plain text for formatting: 1. Data Sources: - Specify the data sources that the dashboard should integrate with (e.g., Google Analytics, YouTube Analytics, Facebook Insights, Twitter Analytics, [CRM Name], [Email Marketing Platform Name], [Social Media Management Tool Name]). - For each data source, list the specific metrics that should be tracked (e.g., page views, bounce rate, time on page, shares, comments, conversions, leads generated, revenue). 2. Key Performance Indicators (KPIs): - Define the core KPIs that the dashboard should highlight. These should be the most important metrics for measuring content success (e.g., overall traffic, engagement rate, lead generation, conversion rate, ROI). - Explain how each KPI will be calculated and presented. 3. Dashboard Sections and Visualizations: - Describe the different sections of the dashboard and the visualizations that should be used in each section. - Consider the following sections: - Overview: A high-level summary of overall content performance. - Channel Performance: A breakdown of performance by channel (e.g., website, social media, email). - Content Performance: A detailed view of individual content pieces (e.g., blog posts, videos, infographics). - Audience Insights: Demographics and behavior of content consumers. - Trends: Historical data and trend analysis. - For each section, specify the type of visualizations to use (e.g., line charts, bar graphs, pie charts, tables, heatmaps). 4. Filtering and Segmentation: - Describe the filtering and segmentation options that should be available to users. This will allow users to drill down into the data and identify specific trends and insights. - Examples: Date range, content type, channel, audience segment. 5. Alerts and Notifications: - Define the types of alerts and notifications that the dashboard should provide to users. These should be triggered by significant changes in content performance. - Examples: A sudden drop in traffic, a spike in engagement, a content piece that is underperforming. 6. Actionable Insights and Recommendations: - Explain how the dashboard will provide actionable insights and recommendations to users. This is crucial for helping users optimize their content strategy. - Examples: Identify underperforming content and suggest improvements, recommend content topics based on trending keywords, suggest optimal posting times based on audience behavior. 7. User Interface (UI) Considerations: - Describe the key UI elements and design considerations for the dashboard. It should be intuitive, easy to use, and visually appealing. - Consider the use of color, typography, and layout. 8. Customization Options: - List the customization options that should be available to users. This will allow users to tailor the dashboard to their specific needs and preferences. - Examples: Choose which metrics to display, customize the layout, set custom alerts. 9. Technical Considerations: - Briefly outline any technical considerations for building the dashboard, such as data storage, processing, and security. Tone and Style: - Be specific and detailed. Avoid vague language. - Focus on actionable insights and practical recommendations. - Consider the needs of both content creators and marketing managers.